… novel Gaussian mutation operator and a modified common mutation operator to collaboratively
produce new mutant vectors, and employ a periodic function and a Gaussian function to …

In this paper, we propose an improved version of JADE by hybridizing the JADE algorithm
with a Gaussian tail, a modified hunger games search (HGS) algorithm, and a distance-based …

… , after some modifications, is used to generate mutants according to the Gaussian distribution.
Various types of Compact Differential Evolution (cDE) also explicitly define transformations …

… mutation, and this has attracted a growing number of research interests over a decade. To
address this issue, this paper presents a triangular Gaussian mutation … Gaussian mutation to …

… of Darwinian evolution, DE makes use of genetic operators such as mutation, crossover
and selection. However, the effectiveness of DE can be attributed to the differential mutation …

… This paper presents differential evolution with Gaussian mutation to … Differential evolution
(DE) is a simple yet powerful global … pairs of objective vectors for its mutation process. This …

… and variance of the improved Gaussian mutation. Different from the improved Gaussian
mutation proposed in this paper, the traditional Gaussian mutation takes the average between …

… In GBDE, the mutation strategy uses a Gaussian sampling method. Because of … Gaussian
mutation or the DE/best/1 mutation) during the population initialization. The assigned mutation …

… In this paper, an improved differential evolution algorithm, … -adaptive differential evolution
with Gauss–Cauchy mutation (… Two strategies, namely Gaussian–Cauchy mutation and …

… Gaussian bare-bones differential evolution (GBDE) is a new DE algorithm which employs
Gaussian random sampling to generate mutant … mutation to accelerate the evolution. Moreover, …